Compressive strength prediction models for concrete containing nano materials and exposed to elevated temperatures
The addition of nanomaterials to concrete is widely employed in modern construction to improve its durability and mechanical properties. In the present study, two machine learning algorithms, random forest (RF) and M5P decision tree, and linear regression were used for developing prediction models f...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-03-01
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| Series: | Results in Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123025000635 |
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